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. 2024 Dec;20(12):8503-8515.
doi: 10.1002/alz.14287. Epub 2024 Oct 17.

Biomarker pathway heterogeneity of amyloid-positive individuals

Affiliations

Biomarker pathway heterogeneity of amyloid-positive individuals

Lloyd Prosser et al. Alzheimers Dement. 2024 Dec.

Abstract

Introduction: In amyloid-positive individuals, disease-related biomarker heterogeneity is understudied.

Methods: We used Subtype and Stage Inference (SuStaIn) to identify data-driven subtypes among cerebrospinal fluid (CSF) amyloid beta (1-42)-positive individuals from the Alzheimer's Disease Neuroimaging Initiative (ADNIGO/2 [n = 376]). Variables included: CSF phosphorylated tau (p-tau181), hippocampal and whole-brain volume, logical memory (LM), composite Trail Making Test score, and white matter hyperintensity (WMH) volumes. CSF amyloid-negative, apolipoprotein E ε4 non-carrier cognitively unimpaired controls (n = 86) were used to calculate z scores.

Results: One subtype (n = 145) had early LM changes, with later p-tau and WMH changes. A second subtype (n = 88) had early WMH changes, were older, and more hypertensive. A third subtype (n = 100) had early p-tau changes, and reflected typical Alzheimer's disease. Some amyloid positive (n = 43) individuals were similar to the amyloid-negative group.

Discussion: This work identified heterogeneity in individuals who are conventionally considered homogeneous, which is likely driven by co-pathologies including cerebrovascular disease.

Highlights: Data-driven modeling identified marker heterogeneity in amyloid-positive individuals. Heterogeneity reflected Alzheimer's disease-like, vascular-like, and mixed pathology presentations. Some amyloid-positive individuals were more similar to amyloid-negative controls. Vascular pathology plays a key role in understanding heterogeneity in those on the amyloid pathway.

Keywords: Alzheimer's disease; amyloid positive; heterogeneity; mixed dementia; subtype and stage inference; vascular pathology.

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Conflict of interest statement

L. Prosser reports no disclosures additional to those that support the DRC. C. H. Sudre reports no disclosures additional to those that support the DRC. N. P. Oxtoby consults for Queen Square Analytics Limited (UK). A. L. Young was supported by the Wellcome Trust (227341/Z/23/Z). I. B. Malone is supported by grants to his institution from NIH and is an employee of the DRC which is supported by Alzheimer's Research UK, Brain Research Trust, and The Wolfson Foundation. E. M. Manning reports no disclosures additional to those that support the DRC. H. Pemberton reports no disclosures additional to those that support the DRC. P. Walsh reports no disclosures additional to those that support the DRC. F. Barkhof supported by the NIHR biomedical research centre at UCLH. F. Barkhof is part of the Steering committee or data safety monitoring board member for Biogen, Merck, Eisai, and Prothena; is an advisory board member for Combinostics and Scottish Brain Sciences; a consultant for Roche, Celltrion, Rewind Therapeutics, Merck, and Bracco; has research agreements with ADDI, Merck, Biogen, GE Healthcare, and Roche; and is a co‐founder and shareholder of Queen Square Analytics LTD. G. J. Biessels reports no additional disclosures. D. M. Cash reports no disclosures additional to those that support the DRC. J. Barnes reports no disclosures additional to those that support the DRC. Author disclosures are available in the supporting information.

Figures

FIGURE 1
FIGURE 1
SuStaIn subtyping depicting biomarker event staging by ordering of standardized scores (one z score [red], two z scores [magenta], three z scores [blue]), with colors between these scales highlighting uncertainty in event staging. WMH used log2. A dashed line for each subtype is included to represent higher uncertainty in the diagrams, in which number of subjects is ≤ 2 for two consecutive stages. pTau, phosphorylated tau; SuStaIn, subtype and stage inference; WMH, white matter hyperintensities.
FIGURE 2
FIGURE 2
Biomarkers by SuStaIn stage, across subtype. Individual volumes for subtypes for each stage across subtype are plotted, with a line of best fit. Pairwise correlation coefficient across subtype stage is reported in Table S1 in supporting information. pTau, phosphorylated tau; SuStaIn, subtype and stage inference; WMH, white matter hyperintensities.
FIGURE 3
FIGURE 3
Pie charts for diagnostic progression by 24 months within baseline diagnostic group (CN or MCI), by subtype group. CN, cognitively normal; MCI, mild cognitive impairment; pTau, phosphorylated tau; WMH, white matter hyperintensities.

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